虚拟现实,或虚拟实境(Virtual Reality),简称 VR 技术,是指利用电脑模拟产生一个三度空间的虚拟世界,提供使用者关于视觉、听觉、触觉等感官的模拟,让使用者如同身历其境一般,可以及时、没有限制地观察三度空间内的事物。 实际上现在实用的民用VR技术只有带头部追踪功能的头戴式显示器,只能有限的勉强模拟视觉感官。近年来火爆的VR就是这个。 VR技术重点在硬件方面,尤其是头部追踪技术是重中之重。VR必须要结合硬件与软件一起使用。和大多数人想象的不同,VR在软件方面实现起来简单,几乎只需要很少的一点代码即可实现。

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当前,我国VR/AR产业发展取得了积极成果,但也存在一些问题与挑战。我国应紧抓5G与人工智能机遇期,突破业界惯有展厅级、孤岛式、小众性、雷同化的发展瓶颈,聚力融合创新与规模应用,实现产业级、网联式、规模性、差异化的虚拟现实普及之路。当前,我国VR/AR产业发展取得了积极成果,但也存在一些问题与挑战。我国应紧抓5G与人工智能机遇期,突破业界惯有展厅级、孤岛式、小众性、雷同化的发展瓶颈,聚力融合创新与规模应用,实现产业级、网联式、规模性、差异化的虚拟现实普及之路。

http://www.caict.ac.cn/kxyj/qwfb/bps/202103/t20210330_372624.htm

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In this work, we propose a new head-tracking solution for human-machine real-time interaction with virtual 3D environments. This solution leverages RGBD data to compute virtual camera pose according to the movements of the user's head. The process starts with the extraction of a set of facial features from the images delivered by the sensor. Such features are matched against their respective counterparts in a reference image for the computation of the current head pose. Afterwards, a prediction approach is used to guess the most likely next head move (final pose). Pythagorean Hodograph interpolation is then adapted to determine the path and local frames taken between the two poses. The result is a smooth head trajectory that serves as an input to set the camera in virtual scenes according to the user's gaze. The resulting motion model has the advantage of being: continuous in time, it adapts to any frame rate of rendering; it is ergonomic, as it frees the user from wearing tracking markers; it is smooth and free from rendering jerks; and it is also torsion and curvature minimizing as it produces a path with minimum bending energy.

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In this work, we propose a new head-tracking solution for human-machine real-time interaction with virtual 3D environments. This solution leverages RGBD data to compute virtual camera pose according to the movements of the user's head. The process starts with the extraction of a set of facial features from the images delivered by the sensor. Such features are matched against their respective counterparts in a reference image for the computation of the current head pose. Afterwards, a prediction approach is used to guess the most likely next head move (final pose). Pythagorean Hodograph interpolation is then adapted to determine the path and local frames taken between the two poses. The result is a smooth head trajectory that serves as an input to set the camera in virtual scenes according to the user's gaze. The resulting motion model has the advantage of being: continuous in time, it adapts to any frame rate of rendering; it is ergonomic, as it frees the user from wearing tracking markers; it is smooth and free from rendering jerks; and it is also torsion and curvature minimizing as it produces a path with minimum bending energy.

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